scholarly journals Realization and optimization of a new spike detection algorithm logic circuit

2021 ◽  
Vol 2113 (1) ◽  
pp. 012039
Author(s):  
Yuefeng Gao ◽  
Qingxing Liu ◽  
Hengji Ye
Keyword(s):  
Artificial Intelligence ◽  
Time Delay ◽  
Integrated Circuit ◽  
Binary Code ◽  
Detection Algorithm ◽  
Interdisciplinary Cooperation ◽  
Logic Circuit ◽  
And Performance ◽  
The Relationship ◽  
Better Than

Abstract At present, artificial intelligence has increasingly become the most promising and essential major. The interdisciplinary cooperation between the integrated circuit and artificial intelligence brings infinite possibilities. In the convolutional neural network area, in order to achieve the valuable output, the comparison between values is often encountered. The output is obtained by comparison between the result after the convolution calculation with the designed threshold. Therefore, our team not only design a 4-bit binary comparator hardware logic circuit to complete the task but also discuss and verify the feasibility and performance characteristics of the program from the perspective of energy and time delay. As for the overall framework, we design a convenient circuit that converts the complement code into the original code and chooses a CLA adder to accomplish this part. Using this kind of adder can ideally help us reduce the time delay at the expense of a complicated circuit schematic. In the comparator part, we design a high-quality circuit framework. The strategy of our circuit is to compare the relationship between the four-bit binary code and the threshold bit by bit from MSB to LSB, which performs better than the original 4-bit comparator, and we design two outputs that can legibly illustrate the relationship between two values. We use logic effort to discuss the normalized delay in our project. Besides, we find the connection between the energy and the delay by calculation. Finally, we design a trade-off function to make the optimization of energy and delay together with respect to voltage.

scholarly journals KUALITAS BELANJA DAERAH DAN HUBUNGANNYA DENGAN KINERJA PEMBANGUNAN DI PROVINSI BANTEN

2018 ◽  
Vol 6 (2) ◽  
pp. 16-31
Author(s):  
Sri Wahyuni ◽  
Bambang Juanda ◽  
Idqan Fahmi
Keyword(s):  
Structural Equation ◽  
Secondary Data ◽  
Equation Model ◽  
Version 2.0 ◽  
Performance Development ◽  
And Performance ◽  
The Relationship ◽  
Quality Map ◽  
Better Than

This study aims to analyze the relevant indicators of spending quality in measuring the quality of regional spending as well as the relationship between the quality of regional spending and the development performance of the regencies/cities of Banten Province. This study uses secondary data from the governance, financial and performance development of the districts/cities of Banten Province between 2009 – 2013. The Data are analyzed using Partial Least Squares Structural Equation Model (PLS–SEM) using SmartPLS software version 2.0 & SmartPLS version 3.0. The Results show that there are 21 indicators out of 40 indicators that are relevant in measuring the quality of the districts/cities spending in Banten Province. The change of the spending quality map from 2009 to 2013 shows that the quality of North Banten (Tangerang Regency, Tangerang City, Tangerang Selatan, Serang Regency, Serang City and Cilegon City) is better than South Banten (Pandeglang and Lebak). In addition, the estimation results from the model used indicate that the quality of the region spending of Banten Provinve has a positive relationship with the performance of development with the value of the indicator 0,678. Keywords : Development Performance, PLS-SEM, Spending Quality

scholarly journals The Technological Progress of the Fuel Consumption Rate for Passenger Vehicles in China: 2009–2016

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2384 ◽  
Author(s):  
Jihu Zheng ◽  
Rujie Yu ◽  
Yong Liu ◽  
Yuhong Zou ◽  
Dongchang Zhao
Keyword(s):  
Fuel Consumption ◽  
Technological Progress ◽  
Consumption Rate ◽  
Joint Venture ◽  
Passenger Vehicles ◽  
Fuel Consumption Rate ◽  
The Difference ◽  
And Performance ◽  
The Relationship ◽  
Better Than

China has set stringent fuel consumption rate (FCR) targets to address the serious environmental and energy security problems caused by vehicles. Estimating the technological progress and tradeoffs between FCR and vehicle attributes is important for assessing the viability of meeting future targets. In this paper, we explored the relationship between vehicle FCR and other attributes using a regression model with data from 2009–2016. We also quantified the difference in the tradeoff between local and joint venture brands. The result showed that from 2009 to 2016, if power and curb mass were held constant, 2.3% and 2.9% annual technological progress should have been achieved for local and joint venture brands, respectively. The effectiveness of fuel-efficient technologies for joint venture brands is generally better than that of local brands. Impacts of other attributes on FCR were also assessed. The joint venture brands made more technological progress with FCR improvement than that of local brands. Even if 100% of technological progress (assume the technological progress in the future were the same as that of 2009–2016) investment were used to improve actual FCR after 2016, it would be difficult to meet 2020 target. Accelerating the adoption of fuel-efficient technologies, and controlling weight and performance, are both needed to achieve the 2020 and 2025 targets.

scholarly journals Why does offspring size affect performance? Integrating metabolic scaling with life-history theory

2015 ◽  
Vol 282 (1819) ◽  
pp. 20151946 ◽  
Author(s):  
Amanda K. Pettersen ◽  
Craig R. White ◽  
Dustin J. Marshall
Keyword(s):  
Life History ◽  
Life History Theory ◽  
Maternal Investment ◽  
Offspring Size ◽  
Metabolic Efficiency ◽  
Metabolic Scaling ◽  
And Performance ◽  
The Relationship ◽  
General Explanation ◽  
Better Than

Within species, larger offspring typically outperform smaller offspring. While the relationship between offspring size and performance is ubiquitous, the cause of this relationship remains elusive. By linking metabolic and life-history theory, we provide a general explanation for why larger offspring perform better than smaller offspring. Using high-throughput respirometry arrays, we link metabolic rate to offspring size in two species of marine bryozoan. We found that metabolism scales allometrically with offspring size in both species: while larger offspring use absolutely more energy than smaller offspring, larger offspring use proportionally less of their maternally derived energy throughout the dependent, non-feeding phase. The increased metabolic efficiency of larger offspring while dependent on maternal investment may explain offspring size effects—larger offspring reach nutritional independence (feed for themselves) with a higher proportion of energy relative to structure than smaller offspring. These findings offer a potentially universal explanation for why larger offspring tend to perform better than smaller offspring but studies on other taxa are needed.

Psychological Differentiation and Performance on Conditional Reasoning Tasks

1978 ◽  
Vol 47 (3) ◽  
pp. 935-940 ◽  
Author(s):  
Marvin W. Boss ◽  
Martin E. Amin
Keyword(s):  
Significant Interaction ◽  
Conditional Reasoning ◽  
Psychological Differentiation ◽  
Field Independent ◽  
Field Dependent ◽  
Reasoning Tasks ◽  
And Performance ◽  
The Relationship ◽  
Better Than ◽  
Grade 8

The relationship between psychological differentiation and performance on three content types (concrete-plausible, concrete-implausible, symbolic) of conditional reasoning tasks was investigated. Using intelligence as a covariate, field-independent subjects ( n = 94) in Grade 8 performed significantly better than field-dependent subjects ( n = 121) on each type of content. A significant interaction was found. Greater differences between field-independent and field-dependent subjects were observed for concrete-implausible and symbolic contents than for concrete-plausible content.

INTELLECTUAL CAPITAL AND PERFORMANCE IN THE SEMICONDUCTOR INDUSTRY

2019 ◽  
Vol 65 (05) ◽  
pp. 1323-1348
Author(s):  
KUO-CHENG KUO ◽  
WEN-MIN LU ◽  
GRACE TZU-YI CHANG
Keyword(s):  
Intellectual Capital ◽  
Integrated Circuit ◽  
Semiconductor Industry ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Efficient Production ◽  
Ic Design ◽  
Ic Packaging ◽  
And Performance ◽  
The Relationship

This paper researches a method of rating competitiveness involving the estimation of the performance of semiconductor firms through Malmquist productivity index (MPI) and metafrontier Malmquist productivity index (MMPI). Regressions are used to find the relationship between intellectual capital and performance. Overall, technological innovations contribute to the improvement in the integrated circuit (IC) design sub-industry while increases in efficient production allow the IC foundry sub-industry and the IC packaging and testing sub-industry to maintain position. The regression results show human capital was critical to technological innovation while relational capital was important to efficient production.

Personality Dimensions and Reversible Perspective in Embedded Figures Test

1978 ◽  
Vol 46 (3) ◽  
pp. 1016-1018 ◽  
Author(s):  
Robert Loo
Keyword(s):  
Performance Variables ◽  
Embedded Figures Test ◽  
Individual Test ◽  
Two Samples ◽  
Embedded Figures ◽  
And Performance ◽  
The Individual ◽  
The Relationship ◽  
Experienced Difficulty ◽  
Better Than

The study examined the relationship between performance on reversible-perspective items in individual and group embedded-figures tests and remaining items, personality and performance variables in two samples of normal females. Performance on the reversible-perspective items was better than on the remaining items in the individual test and as good as other items in the group test. Those who experienced difficulty in solving the reversible-perspective items had more “psychiatric” complaints and greater sociability than subjects who experienced little difficulty.

Relationship between Emotional State and Performance during International Field Hockey Matches

2000 ◽  
Vol 90 (2) ◽  
pp. 691-701 ◽  
Author(s):  
Marc V. Jones ◽  
Roger D. Mace ◽  
Simon Williams
Keyword(s):  
Logistic Regression ◽  
Emotional State ◽  
Emotional States ◽  
Field Hockey ◽  
Long Duration ◽  
Hockey Players ◽  
Competition Period ◽  
And Performance ◽  
The Relationship ◽  
Better Than

The present study examined the relationship between the emotions experienced by 15 international hockey players, both immediately before and during competition, and their performance levels. Data were collected on the players' emotional states using a revised version of the Feelings Scale of Butler, which was completed retrospectively after the match was played. Players reported more annoyance and less tension during the match than before. A logistic regression correctly classified 70.2% of players from the emotional ratings immediately before the match and 85.1% of the players from the ratings during the match as either a good or poor performer. Those individuals who performed well retrospectively reported feeling Nervous and ‘Quick/Alert/Active’ before the game and Confident and Relaxed during the game. The results indicate that emotions fluctuate over the competition period, and in long duration sports assessment of emotion during competition predicts variation in performance better than assessment prior to competition.

scholarly journals The Role of Employees’ Work Patterns and Office Type Fit (and Misfit) in the Relationships Between Employee Well-Being and Performance

2018 ◽  
Vol 52 (2) ◽  
pp. 111-138 ◽  
Author(s):  
Aida Soriano ◽  
Malgorzata W. Kozusznik ◽  
José M. Peiró ◽  
Carolina Mateo
Keyword(s):  
Positive Emotions ◽  
Well Being ◽  
Role Performance ◽  
Work Patterns ◽  
Work Pattern ◽  
Work Tasks ◽  
And Performance ◽  
The Relationship ◽  
Better Than

Nearly half of workers agree that their workspace is unsuitable for their work tasks. Furthermore, it is assumed that happy workers often perform better than unhappy ones. Nevertheless, due to the effect of the emotional-cognitive processes, the misfit between employees’ office type and their work patterns (complexity and interactivity) may hamper this relationship between well-being and performance. This diary study on 83 office workers ( n = 603 time points) combines information about work patterns identified by using cluster analysis with Neufert’s office type classification. Results show that the work pattern–office type (mis)fit moderates the relationship between well-being and performance. The “fit” group shows four out of six positive associations: flow and positive emotions with in-role performance, and positive emotions and activity worthwhileness with extra-role performance. The “misfit” group shows only one out of six positive associations. Thus, the office environment–work pattern fit has a relationship to in-role and extra-role performance.

scholarly journals Compact Tree Encodings for Planning as QBF

2018 ◽  
Vol 21 (62) ◽  
pp. 103-113
Author(s):  
Olivier Gasquet ◽  
Dominique Longin ◽  
Fr´ed´eric Maris ◽  
Pierre R´egnier ◽  
Ma¨el Valais
Keyword(s):  
Artificial Intelligence ◽  
Execution Time ◽  
Boolean Formula ◽  
Benchmark Problems ◽  
Sat Solvers ◽  
Quantified Boolean Formula ◽  
And Performance ◽  
Near Future ◽  
Planning Problems ◽  
Better Than

Considerable improvements in the technology and performance of SAT solvers has made their use possible for the resolution of various problems in artificial intelligence, and among them that of generating plans. Recently, promising Quantified Boolean Formula (QBF) solvers have been developed and we may expect that in a near future they become as efficient as SAT solvers. So, it is interesting to use QBF language that allows us to produce more compact encodings. We present in this article a translation from STRIPS planning problems into quantified propositional formulas. We introduce two new Compact Tree Encodings: CTE-EFA based on Explanatory frame axioms, and CTE-OPEN based on causal links. Then we compare both of them to CTE-NOOP based on No-op Actions proposed in [Cashmore et al. 2012]. In terms of execution time over benchmark problems, CTE-EFA and CTE-OPEN always performed better than CTE-NOOP.

scholarly journals The Relationship Between Electronic Health Record System and Performance on Quality Measures in the American College of Rheumatology’s Rheumatology Informatics System for Effectiveness (RISE) Registry: Observational Study

10.2196/31186 ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. e31186
Author(s):  
Nevin Hammam ◽  
Zara Izadi ◽  
Jing Li ◽  
Michael Evans ◽  
Julia Kay ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Quality Measures ◽  
Independent Effect ◽  
Health Record ◽  
Practice Level ◽  
Patient Reported ◽  
Electronic Health ◽  
And Performance ◽  
The Relationship ◽  
Better Than

Background Routine collection of disease activity (DA) and patient-reported outcomes (PROs) in rheumatoid arthritis (RA) are nationally endorsed quality measures and critical components of a treat-to-target approach. However, little is known about the role electronic health record (EHR) systems play in facilitating performance on these measures. Objective Using the American College Rheumatology’s (ACR’s) RISE registry, we analyzed the relationship between EHR system and performance on DA and functional status (FS) quality measures. Methods We analyzed data collected in 2018 from practices enrolled in RISE. We assessed practice-level performance on quality measures that require DA and FS documentation. Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. Results In total, 220 included practices cared for 314,793 patients with RA. NextGen was the most commonly used EHR system (34.1%). We found wide variation in performance on DA and FS quality measures by EHR system (median 30.1, IQR 0-74.8, and median 9.0, IQR 0-74.2), respectively). Even after adjustment, NextGen practices performed significantly better than Allscripts on the DA measure (51.4% vs 5.0%; P<.05) and significantly better than eClinicalWorks and eMDs on the FS measure (49.3% vs 29.0% and 10.9%; P<.05). Conclusions Performance on national RA quality measures was associated with the EHR system, even after adjusting for practice and patient characteristics. These findings suggest that future efforts to improve quality of care in RA should focus not only on provider performance reporting but also on developing and implementing rheumatology-specific standards across EHRs.

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